Addressing fairness in artificial intelligence for medical imaging
María Agustina Ricci Lara, Rodrigo Echeveste, and Enzo Ferrante. 2022 · 2022
Cited alongside, same era.
Large pre-trained language models contain human-like biases of what is right and wrong to do
Patrick Schramowski, Cigdem Turan, Nico Andersen, Constantin A Rothkopf, and Kristian Kersting. 2022 · 2022
Cited alongside, same era.
A comprehensive survey of AI-generated content (AIGC): A history of generative AI from GAN to ChatGPT
Original
Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S Yu, and Lichao Sun. 2023 · 2023
Cited alongside, same era.
Art and the science of generative AI
Ziv Epstein, Aaron Hertzmann, Investigators of Human Creativity, Memo Akten, Hany Farid, Jessica Fjeld, Morgan R Frank, Matthew Groh, Laura Herman, Neil Leach, et al · 2023
Cited alongside, same era.
Should ChatGPT be biased? Challenges and risks of bias in large language models
Emilio Ferrara. 2023a · 2023
Cited alongside, same era.
Social bot detection in the age of ChatGPT: Challenges and opportunities
Emilio Ferrara. 2023b · 2023
Cited alongside, same era.
Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration
Fiona Fui-Hoon Nah, Ruilin Zheng, Jingyuan Cai, Keng Siau, and Langtao Chen. 2023 · 2023
Cited alongside, same era.
From ChatGPT to ThreatGPT: Impact of generative AI in cybersecurity and privacy
Maanak Gupta, CharanKumar Akiri, Kshitiz Aryal, Eli Parker, and Lopamudra Praharaj. 2023 · 2023
Cited alongside, same era.
Survey of hallucination in natural language generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung. 2023 · 2023
Cited alongside, same era.
Addressing the harms of AI-generated inauthentic content
Filippo Menczer, David Crandall, Yong-Yeol Ahn, and Apu Kapadia. 2023 · 2023
Cited alongside, same era.